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The use of proteomics for the identification of promising vaccine and diagnostic biomarkers in Plasmodium falciparum
- Source :
- Parasitology. 147:1255-1262
- Publication Year :
- 2020
- Publisher :
- Cambridge University Press (CUP), 2020.
-
Abstract
- Plasmodium falciparum is the main cause of severe malaria in humans that can lead to death. There is growing evidence of drug-resistance in P. falciparum treatment, and the design of effective vaccines remains an ongoing strategy to control the disease. On the other hand, the recognition of specific diagnostic markers for P. falciparum can accelerate the diagnosis of this parasite in the early stages of infection. Therefore, the identification of novel antigenic proteins especially by proteomic tools is urgent for vaccination and diagnosis of P. falciparum. The proteome diversity of the life cycle stages of P. falciparum, the altered proteome of P. falciparum-infected human sera and altered proteins in P. falciparum-infected erythrocytes could be proposed as appropriate proteins for the aforementioned aims. Accordingly, this review highlights and proposes different proteins identified using proteomic approaches as promising markers in the diagnosis and vaccination of P. falciparum. It seems that most of the candidates identified in this study were able to elicit immune responses in the P. falciparum-infected hosts and they also played major roles in the life cycle, pathogenicity and key pathways of this parasite.
- Subjects :
- 0301 basic medicine
biology
030231 tropical medicine
Plasmodium falciparum
Disease
Computational biology
biology.organism_classification
medicine.disease
Proteomics
Vaccination
03 medical and health sciences
030104 developmental biology
0302 clinical medicine
Infectious Diseases
Immune system
Antigen
parasitic diseases
Proteome
medicine
Animal Science and Zoology
Parasitology
Malaria
Subjects
Details
- ISSN :
- 14698161 and 00311820
- Volume :
- 147
- Database :
- OpenAIRE
- Journal :
- Parasitology
- Accession number :
- edsair.doi...........334e3ec898025ae6ebd13212e4c04100